Topic: "global-path-planning"
fsalv/DeepWay
Official TensorFlow code for the paper "DeepWay: a Deep Learning Waypoint Estimator for Global Path Generation".
Language: Jupyter Notebook - Size: 3.1 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 1
AbhinandanVellanki/Fast-SLAM-Global-Path-Planning
Landmark based FastSLAM implementation followed by global path planning for a small four wheeled robot
Language: Python - Size: 461 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1
pouyan-asg/path-planning-with-RL-algorithms
Path Planning with Reinforcement Learning algorithms in an unknown environment
Language: Python - Size: 4.76 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0
fsalv/ClusterWay
Official TensorFlow code for the paper "Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering" presented at ECML PKDD 2022.
Language: Python - Size: 145 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
our-projects-github/Safe-Deep-Learning-Based-Global-Path-Planning-Using-a-Fast-Collision-Free-Path-Generator
Implementation of "Safe Deep Learning-Based Global Path Planning Using a Fast Collision-Free Path Generator". We present a global path planning method in this project which is based on an LSTM model that predicts safe paths for the desired start and goal points in an environment with polygonal obstacles, using a new loss function (MSE-NER).
Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0
kimdaebeom/Path-Planner
Codes related with global / local path planner and cost maps
Language: Python - Size: 3.89 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
shirin-chehelgami/Global-path-planning
Implementation of "Safe Deep Learning-Based Global Path Planning Using a Fast Collision-Free Path Generator". We present a global path planning method in this project which is based on an LSTM model that predicts safe paths for the desired start and goal points in an environment with polygonal obstacles, using a new loss function (MSE-NER).
Language: Jupyter Notebook - Size: 31.7 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
kayracoskun/Genetic-Algorithm
Genetic Algorithm for Global Path Planning
Language: Python - Size: 2.47 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
